Combining modality specific deep neural networks for emotion recognition in video - Samira Ebrahimi Kahou; Christopher J. Pal; Xavier Bouthillier; Pierre Froumenty; Çaglar Gülçehre; Roland Memisevic; Pascal Vincent; Aaron C. Courville; Yoshua Bengio; Raul Chandias Ferrari; Mehdi Mirza; Sébastien Jean; et al. (2013 International Conference on Multimodal Interaction, ICMI '13, Sydney, NSW, Australia, December 9-13, 2013, 2013)

Better Mixing via Deep Representations - Yoshua Bengio; Grégoire Mesnil; Yann N. Dauphin; Salah Rifai (Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, 2013)

On the difficulty of training recurrent neural networks - Razvan Pascanu; Tomás Mikolov; Yoshua Bengio (Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, 2013)

Maxout Networks - Ian J. Goodfellow; David Warde-Farley; Mehdi Mirza; Aaron C. Courville; Yoshua Bengio (Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, 2013)

Challenges in Representation Learning: A Report on Three Machine Learning Contests - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (Neural Information Processing - 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III, 2013)

Unsupervised Learning of Semantics of Object Detections for Scene Categorization - Grégoire Mesnil; Salah Rifai; Antoine Bordes; Xavier Glorot; Yoshua Bengio; Pascal Vincent (Pattern Recognition Applications and Methods - International Conference, ICPRAM 2013 Barcelona, Spain, February 15-18, 2013 Revised Selected Papers, 2013)

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization - Grégoire Mesnil; Salah Rifai; Antoine Bordes; Xavier Glorot; Yoshua Bengio; Pascal Vincent (ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, Barcelona, Spain, 15-18 February, 2013, 2013)

Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding - Grégoire Mesnil; Xiaodong He; Li Deng; Yoshua Bengio (14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013, Lyon, France, August 25-29, 2013, 2013)

Audio Chord Recognition with Recurrent Neural Networks - Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent (Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013, Curitiba, Brazil, November 4-8, 2013, 2013)

Multi-Prediction Deep Boltzmann Machines - Ian J. Goodfellow; Mehdi Mirza; Aaron C. Courville; Yoshua Bengio (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Generalized Denoising Auto-Encoders as Generative Models - Yoshua Bengio; Li Yao; Guillaume Alain; Pascal Vincent (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs - Yann N. Dauphin; Yoshua Bengio (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Modeling term dependencies with quantum language models for IR - Alessandro Sordoni; Jian-Yun Nie; Yoshua Bengio (The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013, 2013)

Deep Learning of Representations: Looking Forward - Yoshua Bengio (Statistical Language and Speech Processing - First International Conference, SLSP 2013, Tarragona, Spain, July 29-31, 2013. Proceedings, 2013)

Regularized Auto-Encoders Estimate Local Statistics - Guillaume Alain; Yoshua Bengio; Salah Rifai (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings, 2013)

A Semantic Matching Energy Function for Learning with Multi-relational Data - Xavier Glorot; Antoine Bordes; Jason Weston; Yoshua Bengio (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings, 2013)

Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines - Guillaume Desjardins; Razvan Pascanu; Aaron C. Courville; Yoshua Bengio (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings, 2013)

Joint Training Deep Boltzmann Machines for Classification - Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings, 2013)

Big Neural Networks Waste Capacity - Yann N. Dauphin; Yoshua Bengio (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings, 2013)

Natural Gradient Revisited - Razvan Pascanu; Yoshua Bengio (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings, 2013)

Knowledge Matters: Importance of Prior Information for Optimization - Çaglar Gülçehre; Yoshua Bengio (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings, 2013)

Deep Learning of Representations - Yoshua Bengio; Aaron C. Courville (Handbook on Neural Information Processing, 2013)

1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings - Yoshua Bengio; Yann LeCun (2013)

1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings - Yoshua Bengio; Yann LeCun (2013)

Maxout Networks - Ian J. Goodfellow; David Warde-Farley; Mehdi Mirza; Aaron C. Courville; Yoshua Bengio (CoRR, 2013)

Deep Learning of Representations: Looking Forward - Yoshua Bengio (CoRR, 2013)

Estimating or Propagating Gradients Through Stochastic Neurons - Yoshua Bengio (CoRR, 2013)

Generalized Denoising Auto-Encoders as Generative Models - Yoshua Bengio; Li Yao; Guillaume Alain; Pascal Vincent (CoRR, 2013)

Deep Generative Stochastic Networks Trainable by Backprop - Yoshua Bengio; Eric Thibodeau-Laufer; Jason Yosinski (CoRR, 2013)

Challenges in Representation Learning: A report on three machine learning contests - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (CoRR, 2013)

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation - Yoshua Bengio; Nicholas Léonard; Aaron C. Courville (CoRR, 2013)

Pylearn2: a machine learning research library - Ian J. Goodfellow; David Warde-Farley; Pascal Lamblin; Vincent Dumoulin; Mehdi Mirza; Razvan Pascanu; James Bergstra; Frédéric Bastien; Yoshua Bengio (CoRR, 2013)

Learned-norm pooling for deep neural networks - Çaglar Gülçehre; Kyunghyun Cho; Razvan Pascanu; Yoshua Bengio (CoRR, 2013)

On the Challenges of Physical Implementations of RBMs - Vincent Dumoulin; Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (CoRR, 2013)

Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine - Yoshua Bengio; Nicolas Chapados; Olivier Delalleau; Hugo Larochelle; Xavier Saint-Mleux; Christian Hudon; Jérôme Louradour (Comput. Intell., 2012)

Random Search for Hyper-Parameter Optimization - James Bergstra; Yoshua Bengio (J. Mach. Learn. Res., 2012)

Learning Algorithms for the Classification Restricted Boltzmann Machine - Hugo Larochelle; Michael I. Mandel; Razvan Pascanu; Yoshua Bengio (J. Mach. Learn. Res., 2012)

Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online - Olivier Delalleau; Emile Contal; Eric Thibodeau-Laufer; Raul Chandias Ferrari; Yoshua Bengio; Frank Zhang (IEEE Trans. Comput. Intell. AI Games, 2012)

Deep Learning for NLP (without Magic) - Richard Socher; Yoshua Bengio; Christopher D. Manning (The 50th Annual Meeting of the Association for Computational Linguistics, Tutorial Abstracts, July 8, 2012, Jeju Island, Korea, 2012)

Disentangling Factors of Variation for Facial Expression Recognition - Salah Rifai; Yoshua Bengio; Aaron C. Courville; Pascal Vincent; Mehdi Mirza (Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI, 2012)

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription - Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012, 2012)

Large-Scale Feature Learning With Spike-and-Slab Sparse Coding - Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012, 2012)

A Generative Process for Contractive Auto-Encoders - Salah Rifai; Yann N. Dauphin; Pascal Vincent; Yoshua Bengio (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012, 2012)

Discriminative Non-negative Matrix Factorization for Multiple Pitch Estimation - Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent (Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012, Mosteiro S.Bento Da Vitória, Porto, Portugal, October 8-12, 2012, 2012)

Building Musically-relevant Audio Features through Multiple Timescale Representations - Philippe Hamel; Yoshua Bengio; Douglas Eck (Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012, Mosteiro S.Bento Da Vitória, Porto, Portugal, October 8-12, 2012, 2012)

Deep Learning of Representations for Unsupervised and Transfer Learning - Yoshua Bengio (Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011, 2012)

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach - Grégoire Mesnil; Yann N. Dauphin; Xavier Glorot; Salah Rifai; Yoshua Bengio; Ian J. Goodfellow; Erick Lavoie; Xavier Muller; Guillaume Desjardins; David Warde-Farley; Pascal Vincent; Aaron C. Courville; et al. (Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011, 2012)

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, Spain, April 21-23, 2012, 2012)

Practical Recommendations for Gradient-Based Training of Deep Architectures - Yoshua Bengio (Neural Networks: Tricks of the Trade - Second Edition, 2012)

Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery - Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (CoRR, 2012)

Evolving Culture vs Local Minima - Yoshua Bengio (CoRR, 2012)

On Training Deep Boltzmann Machines - Guillaume Desjardins; Aaron C. Courville; Yoshua Bengio (CoRR, 2012)

Practical recommendations for gradient-based training of deep architectures - Yoshua Bengio (CoRR, 2012)

Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives - Yoshua Bengio; Aaron C. Courville; Pascal Vincent (CoRR, 2012)

Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders - Yoshua Bengio; Guillaume Alain; Salah Rifai (CoRR, 2012)

Better Mixing via Deep Representations - Yoshua Bengio; Grégoire Mesnil; Yann N. Dauphin; Salah Rifai (CoRR, 2012)

Efficient EM Training of Gaussian Mixtures with Missing Data - Olivier Delalleau; Aaron C. Courville; Yoshua Bengio (CoRR, 2012)

Disentangling Factors of Variation via Generative Entangling - Guillaume Desjardins; Aaron C. Courville; Yoshua Bengio (CoRR, 2012)

Understanding the exploding gradient problem - Razvan Pascanu; Tomás Mikolov; Yoshua Bengio (CoRR, 2012)

Theano: new features and speed improvements - Frédéric Bastien; Pascal Lamblin; Razvan Pascanu; James Bergstra; Ian J. Goodfellow; Arnaud Bergeron; Nicolas Bouchard; David Warde-Farley; Yoshua Bengio (CoRR, 2012)

Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions - Heng Luo; Pierre Luc Carrier; Aaron C. Courville; Yoshua Bengio (CoRR, 2012)

Advances in Optimizing Recurrent Networks - Yoshua Bengio; Nicolas Boulanger-Lewandowski; Razvan Pascanu (CoRR, 2012)

High-dimensional sequence transduction - Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent (CoRR, 2012)

Joint Training of Deep Boltzmann Machines - Ian J. Goodfellow; Aaron C. Courville; Yoshua Bengio (CoRR, 2012)

Suitability of V1 Energy Models for Object Classification - James Bergstra; Yoshua Bengio; Jérôme Louradour (Neural Comput., 2011)

Quickly Generating Representative Samples from an RBM-Derived Process - Olivier Breuleux; Yoshua Bengio; Pascal Vincent (Neural Comput., 2011)

Contextual tag inference - Michael I. Mandel; Razvan Pascanu; Douglas Eck; Yoshua Bengio; Luca Maria Aiello; Rossano Schifanella; Filippo Menczer (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Learning Structured Embeddings of Knowledge Bases - Antoine Bordes; Jason Weston; Ronan Collobert; Yoshua Bengio (Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, 2011)

On the Expressive Power of Deep Architectures - Yoshua Bengio; Olivier Delalleau (Algorithmic Learning Theory - 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings, 2011)

On the Expressive Power of Deep Architectures - Yoshua Bengio; Olivier Delalleau (Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings, 2011)

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach - Xavier Glorot; Antoine Bordes; Yoshua Bengio (Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 2011)

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction - Salah Rifai; Pascal Vincent; Xavier Muller; Xavier Glorot; Yoshua Bengio (Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 2011)

Large-Scale Learning of Embeddings with Reconstruction Sampling - Yann N. Dauphin; Xavier Glorot; Yoshua Bengio (Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 2011)

Unsupervised Models of Images by Spikeand-Slab RBMs - Aaron C. Courville; James Bergstra; Yoshua Bengio (Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 2011)

Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio - Philippe Hamel; Simon Lemieux; Yoshua Bengio; Douglas Eck (Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28, 2011, 2011)

On learning distributed representations of semantics - Yoshua Bengio (2011 Symposium on Machine Learning in Speech and Language Processing, MLSLP 2011, Bellevue, WA, USA, June 27, 2011, 2011)

Shallow vs. Deep Sum-Product Networks - Olivier Delalleau; Yoshua Bengio (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain, 2011)

The Manifold Tangent Classifier - Salah Rifai; Yann N. Dauphin; Pascal Vincent; Yoshua Bengio; Xavier Muller (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain, 2011)

On Tracking The Partition Function - Guillaume Desjardins; Aaron C. Courville; Yoshua Bengio (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain, 2011)

Algorithms for Hyper-Parameter Optimization - James Bergstra; Rémi Bardenet; Yoshua Bengio; Balázs Kégl (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain, 2011)

Higher Order Contractive Auto-Encoder - Salah Rifai; Grégoire Mesnil; Pascal Vincent; Xavier Muller; Yoshua Bengio; Yann N. Dauphin; Xavier Glorot (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II, 2011)

Discussion of "The Neural Autoregressive Distribution Estimator" - Yoshua Bengio (Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011, 2011)

Deep Learners Benefit More from Out-of-Distribution Examples - Yoshua Bengio; Frédéric Bastien; Arnaud Bergeron; Nicolas Boulanger-Lewandowski; Thomas M. Breuel; Youssouf Chherawala; Moustapha Cissé; Myriam Côté; Dumitru Erhan; Jeremy Eustache; Xavier Glorot; Xavier Muller; et al. (Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011, 2011)

A Spike and Slab Restricted Boltzmann Machine - Aaron C. Courville; James Bergstra; Yoshua Bengio (Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011, 2011)

Deep Sparse Rectifier Neural Networks - Xavier Glorot; Antoine Bordes; Yoshua Bengio (Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011, 2011)

Autotagging music with conditional restricted Boltzmann machines - Michael I. Mandel; Razvan Pascanu; Hugo Larochelle; Yoshua Bengio (CoRR, 2011)

Adding noise to the input of a model trained with a regularized objective - Salah Rifai; Xavier Glorot; Yoshua Bengio; Pascal Vincent (CoRR, 2011)

Learning invariant features through local space contraction - Salah Rifai; Xavier Muller; Xavier Glorot; Grégoire Mesnil; Yoshua Bengio; Pascal Vincent (CoRR, 2011)

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (CoRR, 2011)

The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All) - James Bergstra; Aaron C. Courville; Yoshua Bengio (CoRR, 2011)

Decision trees do not generalize to new variations - Yoshua Bengio; Olivier Delalleau; Clarence Simard (Comput. Intell., 2010)

Alternative time representation in dopamine models - François Rivest; John Kalaska; Yoshua Bengio (J. Comput. Neurosci., 2010)

Why Does Unsupervised Pre-training Help Deep Learning? - Dumitru Erhan; Yoshua Bengio; Aaron C. Courville; Pierre-Antoine Manzagol; Pascal Vincent; Samy Bengio (J. Mach. Learn. Res., 2010)

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion - Pascal Vincent; Hugo Larochelle; Isabelle Lajoie; Yoshua Bengio; Pierre-Antoine Manzagol (J. Mach. Learn. Res., 2010)

Deep Belief Networks Are Compact Universal Approximators - Nicolas Le Roux; Yoshua Bengio (Neural Comput., 2010)

Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest - Hugo Larochelle; Yoshua Bengio; Joseph P. Turian (Neural Comput., 2010)

Word Representations: A Simple and General Method for Semi-Supervised Learning - Joseph P. Turian; Lev-Arie Ratinov; Yoshua Bengio (ACL 2010, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, July 11-16, 2010, Uppsala, Sweden, 2010)

Learning Tags that Vary Within a Song - Michael I. Mandel; Douglas Eck; Yoshua Bengio (Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010, Utrecht, Netherlands, August 9-13, 2010, 2010)

Theano: A CPU and GPU Math Compiler in Python - James Bergstra; Olivier Breuleux; Frédéric Bastien; Pascal Lamblin; Razvan Pascanu; Guillaume Desjardins; Joseph P. Turian; David Warde-Farley; Yoshua Bengio (Proceedings of the 9th Python in Science Conference, SciPy 2010, Austin, Texas, USA, June 28 - July 3, 2010, 2010)

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines - Guillaume Desjardins; Aaron C. Courville; Yoshua Bengio; Pascal Vincent; Olivier Delalleau (Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2010, Chia Laguna Resort, Sardinia, Italy, May 13-15, 2010, 2010)

Why Does Unsupervised Pre-training Help Deep Learning? - Dumitru Erhan; Aaron C. Courville; Yoshua Bengio; Pascal Vincent (Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2010, Chia Laguna Resort, Sardinia, Italy, May 13-15, 2010, 2010)

Understanding the difficulty of training deep feedforward neural networks - Xavier Glorot; Yoshua Bengio (Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2010, Chia Laguna Resort, Sardinia, Italy, May 13-15, 2010, 2010)

Deep Self-Taught Learning for Handwritten Character Recognition - Frédéric Bastien; Yoshua Bengio; Arnaud Bergeron; Nicolas Boulanger-Lewandowski; Thomas M. Breuel; Youssouf Chherawala; Moustapha Cissé; Myriam Côté; Dumitru Erhan; Jeremy Eustache; Xavier Glorot; Xavier Muller; et al. (CoRR, 2010)

Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs - Guillaume Desjardins; Aaron C. Courville; Yoshua Bengio (CoRR, 2010)

Learning Deep Architectures for AI - Yoshua Bengio (Found. Trends Mach. Learn., 2009)

Exploring Strategies for Training Deep Neural Networks - Hugo Larochelle; Yoshua Bengio; Jérôme Louradour; Pascal Lamblin (J. Mach. Learn. Res., 2009)

Incorporating Functional Knowledge in Neural Networks - Charles Dugas; Yoshua Bengio; François Bélisle; Claude Nadeau; René Garcia (J. Mach. Learn. Res., 2009)

Justifying and Generalizing Contrastive Divergence - Yoshua Bengio; Olivier Delalleau (Neural Comput., 2009)

A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions - Julie Carreau; Yoshua Bengio (IEEE Trans. Neural Networks, 2009)

Workshop summary: Workshop on learning feature hierarchies - Kai Yu; Ruslan Salakhutdinov; Yann LeCun; Geoffrey E. Hinton; Yoshua Bengio (Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009, 2009)

Curriculum learning - Yoshua Bengio; Jérôme Louradour; Ronan Collobert; Jason Weston (Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009, 2009)

Quadratic Features and Deep Architectures for Chunking - Joseph P. Turian; James Bergstra; Yoshua Bengio (Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31 - June 5, 2009, Boulder, Colorado, USA, Short Papers, 2009)

Slow, Decorrelated Features for Pretraining Complex Cell-like Networks - James Bergstra; Yoshua Bengio (Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada, 2009)

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism - Aaron C. Courville; Douglas Eck; Yoshua Bengio (Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada, 2009)

The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training - Dumitru Erhan; Pierre-Antoine Manzagol; Yoshua Bengio; Samy Bengio; Pascal Vincent (Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, AISTATS 2009, Clearwater Beach, Florida, USA, April 16-18, 2009, 2009)

Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 - Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Curran Associates, Inc., 2009)

Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada - Yoshua Bengio; Dale Schuurmans; John D. Lafferty; Christopher K. I. Williams; Aron Culotta (Curran Associates, Inc., 2009)

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks - Nicolas Le Roux; Yoshua Bengio (Neural Comput., 2008)

Neural net language models - Yoshua Bengio (Scholarpedia, 2008)

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model - Yoshua Bengio; Jean-Sébastien Senecal (IEEE Trans. Neural Networks, 2008)

Zero-data Learning of New Tasks - Hugo Larochelle; Dumitru Erhan; Yoshua Bengio (Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008)

Classification using discriminative restricted Boltzmann machines - Hugo Larochelle; Yoshua Bengio (Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008, 2008)

Extracting and composing robust features with denoising autoencoders - Pascal Vincent; Hugo Larochelle; Yoshua Bengio; Pierre-Antoine Manzagol (Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008, 2008)

Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization - Nicolas Chapados; Yoshua Bengio (J. Comput., 2007)

An empirical evaluation of deep architectures on problems with many factors of variation - Hugo Larochelle; Dumitru Erhan; Aaron C. Courville; James Bergstra; Yoshua Bengio (Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, 2007)

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes - Nicolas Chapados; Yoshua Bengio (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

Learning the 2-D Topology of Images - Nicolas Le Roux; Yoshua Bengio; Pascal Lamblin; Marc Joliveau; Balázs Kégl (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

Topmoumoute Online Natural Gradient Algorithm - Nicolas Le Roux; Pierre-Antoine Manzagol; Yoshua Bengio (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data - Julie Carreau; Yoshua Bengio (Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007, 2007)

Continuous Neural Networks - Nicolas Le Roux; Yoshua Bengio (Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007, 2007)

Collaborative Filtering on a Family of Biological Targets - Dumitru Erhan; Pierre-Jean L'Heureux; Shi Yi Yue; Yoshua Bengio (J. Chem. Inf. Model., 2006)

Nonlocal Estimation of Manifold Structure - Yoshua Bengio; Martin Monperrus; Hugo Larochelle (Neural Comput., 2006)

The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization - Nicolas Chapados; Yoshua Bengio (Advances in Artificial Intelligence, 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Québec City, Québec, Canada, June 7-9, 2006, Proceedings, 2006)

Greedy Layer-Wise Training of Deep Networks - Yoshua Bengio; Pascal Lamblin; Dan Popovici; Hugo Larochelle (Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006, 2006)

Entropy Regularization - Yves Grandvalet; Yoshua Bengio (Semi-Supervised Learning, 2006)

Label Propagation and Quadratic Criterion - Yoshua Bengio; Olivier Delalleau; Nicolas Le Roux (Semi-Supervised Learning, 2006)

Large-Scale Algorithms - Olivier Delalleau; Yoshua Bengio; Nicolas Le Roux (Semi-Supervised Learning, 2006)

Spectral Dimensionality Reduction - Yoshua Bengio; Olivier Delalleau; Nicolas Le Roux; Jean-François Paiement; Pascal Vincent; Marie Ouimet (Feature Extraction - Foundations and Applications, 2006)

Efficient Non-Parametric Function Induction in Semi-Supervised Learning - Olivier Delalleau; Yoshua Bengio; Nicolas Le Roux (Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, AISTATS 2005, Bridgetown, Barbados, January 6-8, 2005, 2005)

Hierarchical Probabilistic Neural Network Language Model - Frederic Morin; Yoshua Bengio (Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, AISTATS 2005, Bridgetown, Barbados, January 6-8, 2005, 2005)

Greedy Spectral Embedding - Marie Ouimet; Yoshua Bengio (Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, AISTATS 2005, Bridgetown, Barbados, January 6-8, 2005, 2005)

Semi-supervised Learning by Entropy Minimization - Yves Grandvalet; Yoshua Bengio (Actes de CAP 05, Conférence francophone sur l'apprentissage automatique - 2005, Nice, France, du 31 mai au 3 juin 2005, 2005)

The Curse of Highly Variable Functions for Local Kernel Machines - Yoshua Bengio; Olivier Delalleau; Nicolas Le Roux (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Non-Local Manifold Parzen Windows - Yoshua Bengio; Hugo Larochelle; Pascal Vincent (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Convex Neural Networks - Yoshua Bengio; Nicolas Le Roux; Pascal Vincent; Olivier Delalleau; Patrice Marcotte (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Locally Linear Embedding for dimensionality reduction in QSAR - Pierre-Jean L'Heureux; Julie Carreau; Yoshua Bengio; Olivier Delalleau; Shi Yi Yue (J. Comput. Aided Mol. Des., 2004)

No Unbiased Estimator of the Variance of K-Fold Cross-Validation - Yoshua Bengio; Yves Grandvalet (J. Mach. Learn. Res., 2004)

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA - Yoshua Bengio; Olivier Delalleau; Nicolas Le Roux; Jean-François Paiement; Pascal Vincent; Marie Ouimet (Neural Comput., 2004)

Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models - Indrajit Bhattacharya; Lise Getoor; Yoshua Bengio (Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 21-26 July, 2004, Barcelona, Spain, 2004)

Non-Local Manifold Tangent Learning - Yoshua Bengio; Martin Monperrus (Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004)

Semi-supervised Learning by Entropy Minimization - Yves Grandvalet; Yoshua Bengio (Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004)

Brain Inspired Reinforcement Learning - François Rivest; Yoshua Bengio; John Kalaska (Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004)

Approche statistique pour le repérage de mots informatifs dans les textes oraux - Narjès Boufaden; Yoshua Bengio; Guy Lapalme (Actes de la 11ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, TALN 2004, Fès, Maroc, April 2004, 2004)

Scaling Large Learning Problems with Hard Parallel Mixtures - Ronan Collobert; Yoshua Bengio; Samy Bengio (Int. J. Pattern Recognit. Artif. Intell., 2003)

A Neural Probabilistic Language Model - Yoshua Bengio; Réjean Ducharme; Pascal Vincent; Christian Janvin (J. Mach. Learn. Res., 2003)

Extensions to Metric-Based Model Selection - Yoshua Bengio; Nicolas Chapados (J. Mach. Learn. Res., 2003)

Inference for the Generalization Error - Claude Nadeau; Yoshua Bengio (Mach. Learn., 2003)

Bias learning, knowledge sharing - Joumana Ghosn; Yoshua Bengio (IEEE Trans. Neural Networks, 2003)

Quick Training of Probabilistic Neural Nets by Importance Sampling - Yoshua Bengio; Jean-Sébastien Senecal (Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, AISTATS 2003, Key West, Florida, USA, January 3-6, 2003, 2003)

Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering - Yoshua Bengio; Jean-François Paiement; Pascal Vincent; Olivier Delalleau; Nicolas Le Roux; Marie Ouimet (Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada], 2003)

No Unbiased Estimator of the Variance of K-Fold Cross-Validation - Yoshua Bengio; Yves Grandvalet (Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada], 2003)

Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination - Yoshua Bengio; Dale Schuurmans (Mach. Learn., 2002)

Model Selection for Small Sample Regression - Olivier Chapelle; Vladimir Vapnik; Yoshua Bengio (Mach. Learn., 2002)

Kernel Matching Pursuit - Pascal Vincent; Yoshua Bengio (Mach. Learn., 2002)

A Parallel Mixture of SVMs for Very Large Scale Problems - Ronan Collobert; Samy Bengio; Yoshua Bengio (Neural Comput., 2002)

Robust Regression with Asymmetric Heavy-Tail Noise Distributions - Ichiro Takeuchi; Yoshua Bengio; Takafumi Kanamori (Neural Comput., 2002)

Manifold Parzen Windows - Pascal Vincent; Yoshua Bengio (Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], 2002)

Metric-based model selection for time-series forecasting - Yoshua Bengio; Nicolas Chapados (Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002, Martigny, Valais, Switzerland, September 4-6, 2002, 2002)

Scaling Large Learning Problems with Hard Parallel Mixtures - Ronan Collobert; Yoshua Bengio; Samy Bengio (Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings, 2002)

Segmentation en thèmes de conversations téléphoniques : traitement en amont pour l'extraction d'information - Narjès Boufaden; Guy Lapalme; Yoshua Bengio (Actes de la 9ème conférence sur le Traitement Automatique des Langues Naturelles. Posters, TALN 2002, Nancy, France, June 2002, 2002)

Experiments on the application of IOHMMs to model financial returns series - Yoshua Bengio; Vincent-Philippe Lauzon; Réjean Ducharme (IEEE Trans. Neural Networks, 2001)

Cost functions and model combination for VaR-based asset allocation using neural networks - Nicolas Chapados; Yoshua Bengio (IEEE Trans. Neural Networks, 2001)

A Parallel Mixture of SVMs for Very Large Scale Problems - Ronan Collobert; Samy Bengio; Yoshua Bengio (Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], 2001)

K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms - Pascal Vincent; Yoshua Bengio (Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], 2001)

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference - Nicolas Chapados; Yoshua Bengio; Pascal Vincent; Joumana Ghosn; Charles Dugas; Ichiro Takeuchi; Linyan Meng (Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], 2001)

Topic Segmentation : A First Stage to Dialog-Based Information Extraction - Narjès Boufaden; Guy Lapalme; Yoshua Bengio (Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, November 27-30, 2001, Hitotsubashi Memorial Hall, National Center of Sciences, Tokyo, Japan, 2001)

Boosting Neural Networks - Holger Schwenk; Yoshua Bengio (Neural Comput., 2000)

Gradient-Based Optimization of Hyperparameters - Yoshua Bengio (Neural Comput., 2000)

Taking on the curse of dimensionality in joint distributions using neural networks - Samy Bengio; Yoshua Bengio (IEEE Trans. Neural Networks Learn. Syst., 2000)

Bias Learning, Knowledge Sharing - Joumana Ghosn; Yoshua Bengio (Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1, 2000)

Probabilistic Neural Network Models for Sequential Data - Yoshua Bengio (Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 5, 2000)

A Neural Support Vector Network Architecture with Adaptive Kernels - Pascal Vincent; Yoshua Bengio (Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 5, 2000)

Continuous Optimization of Hyper-Parameters - Yoshua Bengio (Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1, 2000)

Incorporating Second-Order Functional Knowledge for Better Option Pricing - Charles Dugas; Yoshua Bengio; François Bélisle; Claude Nadeau; René Garcia (Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA, 2000)

A Neural Probabilistic Language Model - Yoshua Bengio; Réjean Ducharme; Pascal Vincent (Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA, 2000)

Stochastic Learning of Strategic Equilibria for Auctions - Samy Bengio; Yoshua Bengio; Jacques Robert; Gilles Bélanger (Neural Comput., 1999)

Binary Pseudowavelets and Applications to Bilevel Image Processing - Steven Pigeon; Yoshua Bengio (Data Compression Conference, DCC 1999, Snowbird, Utah, USA, March 29-31, 1999, 1999)

Inference for the Generalization Error - Claude Nadeau; Yoshua Bengio (Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999], 1999)

Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks - Yoshua Bengio; Samy Bengio (Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999], 1999)

Object Recognition with Gradient-Based Learning - Yann LeCun; Patrick Haffner; Léon Bottou; Yoshua Bengio (Shape, Contour and Grouping in Computer Vision, 1999)

Gaussian Mixture Densities for Classification of Nuclear Power Plant Data - Yoshua Bengio; Francois Gingras; Bernard Goulard; Jean-Marc Lina; Keith Scott (Comput. Artif. Intell., 1998)

High quality document image compression with "DjVu" - Léon Bottou; Patrick Haffner; Paul G. Howard; Patrice Y. Simard; Yoshua Bengio; Yann LeCun (J. Electronic Imaging, 1998)

Gradient-based learning applied to document recognition - Yann LeCun; Léon Bottou; Yoshua Bengio; Patrick Haffner (Proc. IEEE, 1998)

Browsing through High Quality Document Images with DjVu - Patrick Haffner; Léon Bottou; Paul G. Howard; Patrice Y. Simard; Yoshua Bengio; Yann LeCun (Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, IEEE ADL '98, Santa Barbara, California, USA, April 22-24, 1998, 1998)

The Z-Coder Adaptive Binary Coder - Léon Bottou; Paul G. Howard; Yoshua Bengio (Data Compression Conference, DCC 1998, Snowbird, Utah, USA, March 30 - April 1, 1998, 1998)

A Memory-Efficient Adaptive Huffman Coding Algorthm for Very Large Sets of Symbols - Steven Pigeon; Yoshua Bengio (Data Compression Conference, DCC 1998, Snowbird, Utah, USA, March 30 - April 1, 1998, 1998)

Support vector machines for improving the classification of brain PET images - Martin Bonneville; Jean Meunier; Yoshua Bengio; Jean-Paul Soucy (Medical Imaging 1998: Image Processing, San Diego, CA, United States, 21-26 February 1998, 1998)

Using a Financial Training Criterion Rather than a Prediction Criterion - Yoshua Bengio (Int. J. Neural Syst., 1997)

Global Training of Document Processing Systems Using Graph Transformer Networks - Léon Bottou; Yoshua Bengio; Yann LeCun (1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), June 17-19, 1997, San Juan, Puerto Rico, 1997)

AdaBoosting Neural Networks: Application to on-line Character Recognition - Holger Schwenk; Yoshua Bengio (Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings, 1997)